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Items tagged with: storage
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Blocks and Files looked at how #storage systems compare when using Nvidia’s #GPUDirect protocol, to serve data to and from Nvidia’s #GPUs
blocksandfiles.com/2023/07/31/…
Storage system speed serving data to Nvidia GPUs – Blocks and Files
Analysis: With Dell’s PowerScale scale-out filer being included in the company’s generative AI announcement this week, we looked at how it and other storage systems compare when using Nvidia’s GPUDirect protocol, to serve data to and from Nvidia’s GP…Chris Mellor (Situation Publishing)
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Azure Managed #Lustre: not your grandparents' parallel file system - by @glennklockwood
techcommunity.microsoft.com/t5…
Azure Managed Lustre: not your grandparents' parallel file system
Although our new Azure Managed Lustre File System is built on tried-and-true Lustre, thinking about it as the same monolithic parallel file system you'd..TECHCOMMUNITY.MICROSOFT.COM
It looks like #Excelero has re-emerged after being acquired by #NVIDIA! A partially hyperconverged #Lustre-on-Excelero-on-DGX is the high-performance file solution for NVIDIA DGX Cloud in #OCI.
It looks a bit complicated; parts of Lustre are running on DGX, and other parts run on HA pairs of storage nodes. No mention of the data management or resilience models though. Wonder what happens when a DGX drops a GPU and the node fails.
developer.nvidia.com/blog/high…
High-Performance Storage on NVIDIA DGX Cloud with Oracle Cloud Infrastructure | NVIDIA Technical Blog
Learn how NVIDIA partnered with Oracle Cloud Infrastructure to build high-performance storage for NVIDIA DGX Cloud with NVMesh software.NVIDIA Technical Blog
Propably because #Nextcloud is not only far cheaper than #SharePoint - espechally if one needs geo-redundant #HighAvailability and #Clustering - but also because Nextcloud like any good #Linux & #Unix application can seamlessly use existing #storage infrastructure, meaning that besides the #WebApp and sync #Client basically any server and application can be integrated or interact with said data natively via existing #API's and interfaces.